A cientit ue a ubmarine to tudy ocean life. She begin at ea level, which i an elevation of 0 feet. She travel down 4. 2 feet. She then travel directly up 3. 4 feet. Next, he decend a econd time, 10 feet

The average value of a continuous function f on the closed interval [a, b] is equal to the definite integral of f over [a, b], divided by the length of the interval [a, b].

Let f(x) be a continuous function on the interval [a, b]. The average value of f on [a, b] is given by:

AVG = (1/(b-a)) * ∫[a, b] f(x) dx

where ∫[a, b] f(x) dx denotes the definite integral of f(x) over [a, b]. The length of the interval [a, b] is given by (b-a). Therefore, the average value of f on [a, b] is the ratio of the definite integral of f over [a, b] to the length of the interval [a, b]. This formula holds for any continuous function f on [a, b].

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The values of the missing angles are:

a) x = 172 and y = 178.

b) p = 36, n = 112 and q = 144.

c) r = 90 and s = 100

We have,

a)

The sum of the angles in a triangle = 180

So,

70 + 38 + x = 180

x = 180 - 108

x = 172

And,

y is the exterior angle.

So,

y = 70 + 108

y = 178

b)

68 is an exterior angle.

So,

68 = 32 + p

p = 68 - 32

p = 36

And,

32 + p + n = 180

32 + 36 + n = 180

n = 180 - 68

n = 112

And,

q = 32 + n

q = 32 + 112

q = 144

c)

In a parallelogram,

The opposite sides are parallel and congruent, and the opposite angles are also congruent.

So,

r = 90

s = 100

Thus,

a) x = 172 and y = 178.

b) p = 36, n = 112 and q = 144.

c) r = 90 and s = 100

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The orthorhombic unit cell illustrating the (1 2 1) direction will have a straight line connecting the starting corner with the point reached after moving 1 unit along the x-axis, 2 units along the y-axis, and 1 unit along the z-axis

1. Orthorhombic unit cell have lattice parameters a, b, and c and have all angles equal to 90 degrees (α = β = γ = 90°).

2. The (1 2 1) direction refers to the vector direction that moves 1 unit in the x direction (a), 2 units in the y direction (b), and 1 unit in the z direction (c).

3. In an orthorhombic unit cell, you can visualize the (1 2 1) direction by starting at a corner of the unit cell and moving 1 unit along the x-axis, 2 units along the y-axis, and 1 unit along the z-axis.

4. Since all angles in the orthorhombic unit cell are 90 degrees, the (1 2 1) direction will be a straight line connecting the starting point and the final point after moving along the x, y, and z directions.

So, the orthorhombic unit cell illustrating the (1 2 1) direction will have a straight line connecting the starting corner with the point reached after moving 1 unit along the x-axis, 2 units along the y-axis, and 1 unit along the z-axis.

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The circle with a center at (0, 0) and passing through (0, -3) has an area and circumference that can be calculated. The area can be found using the formula A = πr^2, and the circumference can be found using the formula C = 2πr, where r is the radius of the circle.

Given that the center of the circle is at (0, 0) and it passes through (0, -3), we can determine that the radius of the circle is 3 units. The distance between the center (0, 0) and the point on the circle (0, -3) gives us the radius.

To find the area of the circle, we use the formula A = πr^2. Substituting the radius, we have A = π(3^2) = 9π square units.

To find the circumference of the circle, we use the formula C = 2πr. Substituting the radius, we have C = 2π(3) = 6π units.

Therefore, the area of the circle is 9π square units, and the circumference of the circle is 6π units.

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The formula expressing [tex]S_n[/tex] as a function of n for the recurrence relation [tex]S_n=-S_{n-1}+10[/tex] and initial condition [tex]S_0=-4[/tex] is [tex]S_n = 5n-4[/tex] if n is even and [tex]S_n = -5n+14[/tex]  if n is odd.

if n is even, and[tex]S_n = 5n - 4[/tex]  if n is odd.

The given recurrence relation is:

[tex]S_n = -S_{n-1} + 10[/tex]

And the initial condition is:

[tex]S_0 = -4[/tex]

To use the method of iteration, we start by substituting n-1 for n in the recurrence relation:

[tex]S_{n-1} = -S_{n-2} + 10[/tex]

Next, we can substitute this expression into the original recurrence relation:

[tex]S_n = -(-S_{n-2} + 10) + 10[/tex]

Simplifying this, we get:

[tex]S_n = S_{n-2}[/tex]

We can continue this process of substitution, getting:

[tex]S_{n-2} = -S_{n-3} + 10[/tex]

Simplifying, we get:

[tex]S_n = S_{n-3} - 10[/tex]

Substituting again:

[tex]S_{n-3} = -S_{n-4} + 10[/tex]

Simplifying:

[tex]S_n = S_{n-4} - 20[/tex]

We can see a pattern emerging: each time we substitute, we go back two steps and subtract 10 or 20.

So we can write the general formula for [tex]S_n[/tex] in terms of [tex]S_0[/tex] as follows:

If n is even:

[tex]S_n = S_0 + 10\times (n/2)[/tex]

If n is odd:

[tex]S_n = -S_0 - 10\times ((n-1)/2)[/tex]

Using the initial condition [tex]S_0 = -4,[/tex] we can simplify these formulas:

If n is even:

[tex]S_n = -4 + 10\times (n/2) = 5n - 4[/tex]

If n is odd:

[tex]S_n = 4 - 10\times ((n-1)/2) = -5n + 14.[/tex]

The formula expressing [tex]S_n[/tex] as a function of n for the given recurrence relation and initial conditions is: [tex]S_n = 5n - 4[/tex]

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To use the method of iteration, we need to repeatedly apply the recurrence relation to the initial condition and previous terms until we reach the nth term.

Starting with S0 = -4, we can find S1 by plugging in n=1 into the recurrence relation:

S1 = -S0 + 10 = -(-4) + 10 = 14

Using S1, we can find S2:

S2 = -S1 + 10 = -(14) + 10 = -4

We can continue this process to find the first few terms:

S3 = -S2 + 10 = -(-4) + 10 = 14
S4 = -S3 + 10 = -(14) + 10 = -4

Notice that S2 and S4 are the same value, and S1 and S3 are the same value. This suggests that the sequence alternates between two values: -4 and 14.

We can write this as a formula:

S(n) = -4 if n is even
S(n) = 14 if n is odd

Alternatively, we could write it as:

S(n) = (-1)^n * 9 + 5

This formula also produces alternating values of -4 and 14, and can be derived using the method of recurrence relations.

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According to some reports, the proportion of American adults who drink coffee daily is 0.54. Given that parameter, if samples of 500 are randomly drawn from the population of American adults, the mean and standard deviation of the sample proportion are 0.54 and 0.0223, respectively.

The standard deviation of a population or sample and the standard error of a statistic are quite different, related. The sample mean's standard is the standard deviation . The standard deviation of the set of means that would be found by  an infinite number of repeated samples,  from the population and computing a mean.

The mean's standard out to the equal the population, the standard deviation is divided by the square root of the sample size,  by using the sample standard deviation divided by the square root of the sample size. For a poll's standard is the expected standard deviation of the estimated mean if the same poll were to be conducted multiple times. Thus, the standard error estimates the standard deviation of an estimate, which itself measures how much the estimate depends on the particular sample that was taken from the population.

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The median of the given set of numbers is -13.5.

To find the median of a set of numbers, you need to arrange them in ascending order and then determine the middle value. If there is an even number of values, the median is the average of the two middle values.

Let's arrange the numbers in ascending order:

-18, -18, -14, -13, 12, 13, 14, 16

The set has 8 elements, so it has an even number of values. The middle two values are -14 and -13. To find the median, we take the average of these two values:

Median = (-14 + -13) / 2 = -27 / 2 = -13.5

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The value of the integral given in the question ∫(0 to π) f(x) dx is 0.

A key theorem in calculus, the fundamental theorem establishes the connection between integration and differentiation. It claims that evaluating the function's antiderivative at the interval's endpoints will yield the integral of a function over that interval. In other words, the definite integral of f(x) over the interval [a,b] is equal to the difference between F(b) and F(a) if f(x) is a continuous function over the interval [a,b] and F(x) is an antiderivative of f(x). The theory has significant applications in physics, engineering, and economics, among other disciplines.

Given the piecewise function f(x) and the bounds, the integral can be expressed as:

[tex]\int\limitsf(x) dx = \int\limits^a_b {x} \,sin(x) dx + \int\limits\cos(x) dx[/tex]

Now, let's evaluate each integral separately:

1. [tex]\int\limits^{} \, dx (\pi /2 to \pi ) sin(x) dx[/tex]
To evaluate this integral, find the antiderivative of sin(x), which is -cos(x). Now apply the Fundamental Theorem of Calculus:

[tex]-(-cos(\pi /2)) - -(-cos(0)) = cos(0) - cos(\pi /2)[/tex] = 1 - 0 = 1

2. [tex]\int\limits^{} \, dx (\pi /2 to \pi ) cos(x) dx[/tex]:
To evaluate this integral, find the antiderivative of cos(x), which is sin(x). Now apply the Fundamental Theorem of Calculus:

[tex]sin(\pi ) - sin(\pi /2)[/tex]= 0 - 1 = -1

Now, add the results of both integrals:

1 + (-1) = 0

So, the integral [tex]\int\limits^ {} \,f(x) dx[/tex] = 0.

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The the answer to the expression 4x + 3 is simply 4x + 3 itself.

4x + 3 is an algebraic expression that represents a polynomial. It can be simplified or evaluated depending on the given problem. If there are no instructions given, then we assume that the expression is to be simplified. Hence, we must combine like terms. 4x and 3 cannot be combined as they are not like terms. Therefore, the expression is already in its simplest form.

All algebraic expressions are not polynomials, though. But algebraic expressions are what all polynomials are. The distinction is that algebraic expressions also include irrational numbers in the powers, whereas polynomials only include variables and coefficients with the mathematical operations (+, -, and ).Additionally, algebraic expressions may not always be continuous (for example, 1/x2 - 1), whereas polynomials are continuous functions (for example, x2 + 2x + 1).

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1 False

2 True

3 False

4 True

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The answer is (a) 924.

To form a team of 3 students with 1 girl and 2 boys, we need to select 1 girl from the 14 girls and 2 boys from the 12 boys.

The number of ways to select 1 girl from 14 is C(14,1) = 14, and the number of ways to select 2 boys from 12 is C(12,2) = 66.

By the multiplication principle, the total number of ways to form the team is the product of these two numbers:

14 * 66 = 924

Therefore, the answer is (a) 924.

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Meghan takes 1 1/4 hours to read 1/3 of her book. At this pace, it will take her 2 1/2 hours to read the entire book. Therefore, it will take her 1 1/4 hours to read 1/2 of the book.

To find out how long it will take Meghan to read the entire book, we can set up a proportion based on the fraction of the book she reads in a given time. If Meghan reads 1/3 of the book in 1 1/4 hours, we can set up the following proportion:

(1/3 book) / (1 1/4 hours) = (1 book) / (x hours)

To solve for x, we can cross-multiply and then divide:

(1/3) * (x hours) = (1) * (1 1/4 hours)

x/3 = 5/4

Next, we can multiply both sides of the equation by 3 to isolate x:

x = (5/4) * 3

x = 15/4

x = 3 3/4 hours

So, it will take Meghan 3 3/4 hours to read the entire book.

To determine how long it will take her to read 1/2 of the book, we can divide the total time by 2:

(3 3/4 hours) / 2 = 15/4 hours / 2

= (15/4) / 2

= (15/4) * (1/2)

= 15/8

= 1 7/8 hours

Therefore, it will take Meghan 1 7/8 hours, or 1 1/4 hours, to read 1/2 of the book.

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Thus, Differentiation Part of the Fundamental Theorem of Calculus:

a) sin(t^4)/4

b) sin(sqrt(s^4 + 1))/sqrt(s^4 + 1)

c)  (t + 1)ln(t + 1) - (t + 1)

d)  (1/2)ln|z + 2| + z

e)  (1/ln2)(sqrt(pi)/2)erfi(sqrt(ln2)t)

The Differentiation Part of the Fundamental Theorem of Calculus states that if f(x) is a continuous function on the interval [a,b] and F(x) is an antiderivative of f(x), then:
d/dx integral^b_a f(t) dt = f(x)

Using this theorem, we can find the derivatives of the given integrals as follows:

a) d/dx integral^x_2 cos(t^4) dt
= cos(x^4) [by applying the Differentiation Part of the FTC and noting that the antiderivative of cos(t^4) is sin(t^4)/4]

b) d/dx integral^6_x cos (squareroot s^4 + 1)ds
= -cos(sqrt(x^4 + 1)) [by applying the Differentiation Part of the FTC and noting that the antiderivative of cos(sqrt(s^4 + 1)) is sin(sqrt(s^4 + 1))/sqrt(s^4 + 1)]

c) d/dx integral^2x + 1_2 In(t + 1)dt
= In(x + 1) [by applying the Differentiation Part of the FTC and noting that the antiderivative of ln(t + 1) is (t + 1)ln(t + 1) - (t + 1)]

d) d/dx integral^x_-x z + 1/z + 2 dz
= 0 [by applying the Differentiation Part of the FTC and noting that the antiderivative of z + 1/(z + 2) is (1/2)ln|z + 2| + z]

e) d/dx integral^2_-3x 2^t2 dt
= -6x2^(9x^2) [by applying the Differentiation Part of the FTC and noting that the antiderivative of 2^(t^2) is (1/ln2)(sqrt(pi)/2)erfi(sqrt(ln2)t)]

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The analysis used in the first court case is an example of statistical inference and the second court case is not an example of statistical inference.

The analysis used in the first court case is an example of statistical inference because it involves drawing a conclusion based on probability. It utilizes statistical techniques to make inferences about the entire population based on a sample.

In this case, the conclusion about cheating on the test was made by comparing the proportion of matches on wrong answers between the two groups.

On the other hand, the analysis in the second court case is not an example of statistical inference.

This is because it does not involve drawing conclusions based on probability or using statistical techniques to make inferences about a larger population. The fact that the second case involves 1025 students instead of only 88 students does not necessarily make it an example of statistical inference.

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The correct option is B - 14 units.

Triangle ABC and triangle CDE are shown below. Side AE is a hypotenuse to the right triangle CDE whose right angle is at vertex D. We are to find the length of side BD. We will proceed to solve this problem by making use of Pythagorean Theorem.Let a side of the equilateral triangle ABC be x units, then the other two sides of the triangle will also be x units. Since it is an equilateral triangle, all its sides are equal, and all its angles are equal.

Therefore, angle BAC = angle ABC = angle ACB = 60°.Also, we know that side AE is 20 units. Let the length of side BD be y units.Now, we will use Pythagorean Theorem to find the length of side BD:BD2 + DE2 = BE2DE = AE - AD = 20 - xNow, since triangle ABC is an equilateral triangle, we have:x2 + x2 - 2xcos 60° = 20²2x2 - x² = 400∴ 3x² = 400∴ x² = 400/3∴ x = (400/3)1/2Putting this value of x into the expression for DE, we get:DE = 20 - x = 20 - (400/3)1/2Now, we can substitute the value of DE and x into the expression for BD2:BD2 + (20 - (400/3)1/2)2 = (400/3)This expression simplifies to:BD2 = (400/3) - 400 + 400/3∴ BD2 = 400/3 - 400/3∴ BD2 = 400/9∴ BD = (400/9)1/2.

Therefore, the length of side BD is:BD = (400/9)1/2 ≈ 6.66 units (rounded off to 2 decimal places)In option A, the length of side BD is given as 12 units. But, as we have shown, the length of side BD is approximately 6.66 units. Hence, option A is incorrect.The correct option is B - 14 units.Answer: B - 14 units.

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The given statement is False.

Effect modification, also known as interaction, is not a phenomenon that needs to be eliminated. Instead, it is a phenomenon that the investigator needs to identify and account for in data analysis.

Effect modification occurs when the relationship between an exposure and an outcome differs depending on the level of another variable, known as the effect modifier. Failing to account for effect modification can lead to biased estimates and incorrect conclusions.

Therefore, it is essential for investigators to assess for effect modification and report findings accordingly. This can involve stratifying the data by the effect modifier and analyzing each stratum separately or including an interaction term in the statistical model.

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The taylor polynomials for 2 is [tex]7 + 7x^2[/tex] and for 3 is [tex]7x + (7/3)x^3.[/tex]

To find the Taylor polynomials for a function, we need to calculate the function's derivatives at the point where we want to center the polynomials. In this case, we want to center the polynomials at x=0.

First, let's find the first few derivatives of[tex]f(x) = 7tan(x):[/tex]

[tex]f(x) = 7tan(x)[/tex]

[tex]f'(x) = 7sec^2(x)[/tex]

[tex]f''(x) = 14sec^2(x)tan(x)[/tex]

[tex]f'''(x) = 14sec^2(x)(2tan^2(x) + 2)[/tex]

[tex]f''''(x) = 56sec^2(x)tan(x)(tan^2(x) + 1) + 56sec^4(x)[/tex]

To find the Taylor polynomials, we plug these derivatives into the Taylor series formula:

[tex]P_n(x) = f(0) + f'(0)x + (f''(0)x^2)/2! + ... + (f^n(0)x^n)/n![/tex]

For n=2:

[tex]P_2(x) = f(0) + f'(0)x + (f''(0)x^2)/2![/tex]

[tex]= 7tan(0) + 7sec^2(0)x + (14sec^2(0)tan(0)x^2)/2[/tex]

[tex]= 7 + 7x^2[/tex]

So the second-degree Taylor polynomial centered at x=0 for f(x) is [tex]P_2(x) = 7 + 7x^2.[/tex]

For n=3:

[tex]P_3(x) = f(0) + f'(0)x + (f''(0)x^2)/2! + (f'''(0)x^3)/3![/tex]

[tex]= 7tan(0) + 7sec^2(0)x + (14sec^2(0)tan(0)x^2)/2 + (14sec^2(0)(2tan^2(0) + 2)x^3)/6[/tex]

[tex]= 7x + (7/3)x^3[/tex]

So the third-degree Taylor polynomial centered at x=0 for f(x) is [tex]P_3(x) = 7x + (7/3)x^3.[/tex]

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The angle between the first and second order diffraction maxima for microwaves of wavelength 3.00 cm that are incident normally on a row of parallel metal rods with a separation of 8.00 cm and the first order diffraction maximum observed at an angle of 22.0° to the direction of the incident waves is 37.0°.

Explanation:The grating equation is given as;dsinθ = nλWhere;d = separation between the slitsθ = angle between the incident direction and the direction of the diffracted light

λ = wavelength of lightn = order of diffraction

When the first order diffraction maximum is observed at an angle of 22.0°, we have;d sin 22.0° = λ …(1)

Also, when the second order diffraction maximum is observed at an angle θ2, we have;d sin θ2 = 2λ …(2)

Dividing equation (2) by equation (1);

d sin θ2/d sin 22.0°

= 2λ/λsin θ2/sin 22.0°

= 2sin θ2/sin 22.0°

= 2 × 3.00 c/sin 22.0°θ2 = sin⁻¹(2sin 22.0°)θ2 = 37.0°

Therefore, the angle between the first and second order diffraction maxima is 37.0°.

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To find the length of RT using similarity, set up a proportion using the corresponding sides of similar triangles ABC and RST, and solve for RT using the given lengths of AB, AC, and RS.

To find the length of RT using similarity, we can make use of the concept of similar triangles. Similar triangles have corresponding angles that are equal, and their corresponding sides are proportional.

Here's the reasoning to find the length of RT:

Identify similar triangles: Look for two triangles within the given information that have corresponding angles that are equal. Let's say we have triangle ABC and triangle RST.

Determine the corresponding sides: Find the sides of triangle ABC that correspond to side RT in triangle RST. Let's say side AB corresponds to RT.

Set up a proportion: Since the triangles are similar, we can set up a proportion using the corresponding sides. The proportion will involve the lengths of the corresponding sides.

For example, if AB corresponds to RT, we can write the proportion as:

AB / RT = AC / RS

Here, AB and AC are the corresponding sides of triangle ABC, and RT and RS are the corresponding sides of triangle RST.

Solve the proportion: Substitute the known values into the proportion and solve for the unknown value, which is RT in this case.

If the lengths of AB and AC are known, and RS is known, we can rearrange the proportion to solve for RT:

RT = (AB * RS) / AC

By applying the concept of similarity and setting up a proportion using the corresponding sides of similar triangles, we can find the length of RT.

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Using the squeeze theorem, we found that the limit of the sequence cos(1/n) -1 as n approaches infinity is 0, and the limit of the sequence 1/n as n approaches infinity is also 0.

To use the squeeze theorem to find the limit of a sequence, we need to find two other sequences that "squeeze" the original sequence, meaning they are always greater than or equal to it and less than or equal to it. Then, if these two sequences both converge to the same limit, we know the original sequence also converges to that limit.

For the sequence cos(1/n) -1, we can use the fact that -2 ≤ cos(x) - 1 ≤ 0 for all x. Therefore, we can rewrite the sequence as:

-2/n ≤ cos(1/n) - 1 ≤ 0/n

Taking the limit as n approaches infinity of each part of the inequality, we get:

lim (-2/n) = 0
lim (0/n) = 0

So, by the squeeze theorem, the limit of cos(1/n) -1 as n approaches infinity is 0.

For the sequence 1/n, we can simply see that as n approaches infinity, the denominator gets larger and larger, so the fraction gets smaller and smaller. Therefore, the limit of 1/n as n approaches infinity is 0.

In summary, using the squeeze theorem, we found that the limit of the sequence cos(1/n) -1 as n approaches infinity is 0, and the limit of the sequence 1/n as n approaches infinity is also 0.

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Given a budget of $1800 for fuel and an assumed cost of 30 cents per mile, an individual would be able to travel a maximum of 6000 miles over the course of an entire year.

To get the maximum number of miles that can be driven with a fuel budget of $1800, we divide the budget by the cost per mile. This gives us the maximum number of miles that can be driven. For the sake of argument, let's say that the hypothetical cost per mile is thirty cents.

The maximum number of miles that can be driven, hence the calculation becomes miles = 1800 / 0.30. We are able to find the solution to the equation by performing the evaluation.

When we divide $1800 by 0.30, we get 6000. Therefore, given a budget of $1800 for fuel and an assumed cost of 30 cents per mile, an individual would be able to travel a maximum of 6000 miles over the course of an entire year.

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An employee will earn 12,060,000 pesos in a year if he/she earns 33,500 pesos per day.

If an employee earns 33,500 pesos per day, he/she will earn 1,005,000 pesos in 30 days and 12,060,000 pesos in one year.

The calculation of earnings of an employee can be calculated using the following formula:

Salary = daily wage x number of working days in a month/year

Let us calculate the salary of the employee in 30 days:

Salary for 30 days = 33,500 pesos/day x 30 days

= 1,005,000 pesos

An employee will earn 1,005,000 pesos in 30 days if he/she earns 33,500 pesos per day.

Let's calculate the salary of the employee in a year:

Salary for 1 year = 33,500 pesos/day x 365 days

= 12,227,500 pesos

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there are 56,280 different strings that can be created by rearranging the letters in "addressee".

The word "addressee" has 8 letters, but it contains 3 duplicate letters "e", 2 duplicate letters "d", and 2 duplicate letters "s". Therefore, the number of different strings that can be created by rearranging the letters in "addressee" is:

8! / (3! 2! 2!) = 56,280

what is combination?

In mathematics, combination refers to the selection of a subset of objects from a larger set, where the order in which the objects are selected does not matter.

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The indefinite integral of (7 - eu)^2 du is 49u - 14(e^u)/1 + e^2u/2 + C.

The indefinite integral of (7 - eu)^2 du is:

∫(7 - eu)^2 du = ∫(49 - 14eu + e^2u) du = 49u - 14(e^u)/1 + e^2u/2 + C

To evaluate the indefinite integral of (7 - eu)^2 du, we use the formula for integrating powers of exponential functions, which states that ∫e^au du = (1/a)e^au + C, where C is the constant of integration. By applying this formula, we can expand the given expression and integrate term by term.

First, we expand (7 - eu)^2 using the binomial theorem, which gives us 49 - 14eu + e^2u. Then, we integrate each term using the formula above, which gives us 49u - 14(e^u)/1 + e^2u/2 + C, where C is the constant of integration.

Therefore, the indefinite integral of (7 - eu)^2 du is 49u - 14(e^u)/1 + e^2u/2 + C.

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The response variable in the given linear regression output is seasonal catch, as indicated by the coefficient estimate and standard error of the variable "size."

The response variable in this simple linear regression is the seasonal catch (thousands of bass per square mile of lake area). In a linear regression, the response variable is the variable we are trying to predict or estimate based on the values of other variables. In this case, we are trying to estimate the seasonal catch of bass in the lake based on the size of the lake. So, the correct answer is b. seasonal catch.

                                                The response variable in the given linear regression output is seasonal catch, as indicated by the coefficient estimate and standard error of the variable "size."

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P(B) = P(black and A) + P(black and M) = (11+15+15)/80 = 41/80

P(A ? B) = P(black and A) = 41/80

we have P(A) = 1, P(B) = 41/80, and P(A ? B) = 41/80.

P(B | A) = P(A and B) / P(A) = (11+15+15) / (13+10+11+11+15+7+15+18) = 41/80. This represents the probability of a randomly selected black car having an automatic transmission.

P(A | C') = P(A and C') / P(C') = (10+11+15+18) / (10+11+15+18+7+11+11+15) = 54/73. This represents the probability of a randomly selected non-white car having an automatic transmission.

a) From the table, we can calculate the following probabilities:

P(A) = P(A and white) + P(A and blue) + P(A and black) + P(A and red) = (13+10+11+11+15+7+15+18)/80 = 80/80 = 1

P(B) = P(black and A) + P(black and M) = (11+15+15)/80 = 41/80

P(A ? B) = P(black and A) = 41/80

So, we have P(A) = 1, P(B) = 41/80, and P(A ? B) = 41/80.

b) We can calculate the following conditional probabilities:

P(A | B) = P(A and B) / P(B) = (11+15+15) / (11+10+11+15+7+15+18) = 41/77. This represents the probability of a randomly selected car having an automatic transmission, given that it is black.

P(B | A) = P(A and B) / P(A) = (11+15+15) / (13+10+11+11+15+7+15+18) = 41/80. This represents the probability of a randomly selected black car having an automatic transmission.

c) We can calculate the following conditional probabilities:

P(A | C) = P(A and C) / P(C) = (13+15) / (13+10+11+15) = 28/49. This represents the probability of a randomly selected white car having an automatic transmission.

P(A | C') = P(A and C') / P(C') = (10+11+15+18) / (10+11+15+18+7+11+11+15) = 54/73. This represents the probability of a randomly selected non-white car having an automatic transmission.

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The probability values are

Given that

COLOR

TRANSMISSION TYPE white blue black red

A                                         13     10     11     11

M                                         15     07    15    18

Also, we have

For the probabilities, we have

(a) P(A) = (13 + 10 + 11 + 11)/(13 + 10 + 11 + 11 + 15 + 07 + 15 + 18)

P(A) = 9/20

P(B) = (11 + 15)/100

P(B) = 13/50

P(A and B) = 11/100

(b) P(A | B) = P(A and B)/P(B)

P(A | B) = (11/100)/(13/50)

P(A | B) = 11/26

This means that the probability that a car is automatic given that it is black is 11/26

P(B | A) = P(A and B)/P(A)

P(B | A) = (11/100)/(9/20)

P(B | A) = 11/45

This means that the probability that a car is black given that it is automatic is 11/45

(c) P(A | C) = P(A and C)/P(C)

Where P(A and C) = 13/100 and P(C) = 28/100

So, we have

P(A | C) = (13/100)/(28/100)

P(A | C) = 13/28

This means that the probability that a car is automatic given that it is white is 13/28

P(A | C') = P(A and C')/P(C')

Where P(A and C') = 32/100 and P(C') = 72/100

So, we have

P(A | C') = (32/100)/(72/100)

P(A | C') = 4/9

This means that the probability that a car is automatic given that it is not white is 4/9

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The distribution of S(t) in the Black-Scholes model, where the underlying asset follows a geometric Brownian motion.

We have:

Zn(t) = ln(Sn(t))

= ln(S(0)) − [n t] + ln(1 + σ √[n t] [M[n t] 2 − [n t]]) − ln(1 − σ √[n t] [M[n t] 2 − [n t]])

= ln(S(0)) − [n t] + ln(1 + σ √[n t] W(n)(t)) − ln(1 − σ √[n t] W(n)(t))

where we have used M[n t] = W(n)(t)√[n t] and the fact that ln(1 + x) ≈ x − x^2/2 for small x.

Using the Taylor series expansion of ln(1 + x) at the order 2, we have:

ln(1 + σ √[nt] W(n)(t)) ≈ σ √[nt] W(n)(t) − σ^2/2 [nt] W(n)(t)^2

ln(1 − σ √[nt] W(n)(t)) ≈ −σ √[nt] W(n)(t) − σ^2/2 [nt] W(n)(t)^2

Substituting these into the expression for Zn(t) yields:

Zn(t) ≈ ln(S(0)) − [nt] + σ √[nt] W(n)(t) − σ^2/2 [nt] W(n)(t)^2 − (−σ √[nt] W(n)(t) − σ^2/2 [nt] W(n)(t)^2)

= ln(S(0)) − [nt] + σ^2 [nt] W(n)(t)^2

Taking the limit as n → ∞, we have:

Z(t) = lim n→∞ Zn(t)

= ln(S(0)) − tσ^2/2

This means that the distribution of Zn(t) converges to a normal distribution with mean ln(S(0)) − tσ^2/2 and variance σ^2t. Since Zn(t) approximates ln(Sn(t)), the distribution of Sn(t) converges to a lognormal distribution with mean S(0) e^(−tσ^2/2) and variance S(0)^2 (e^(σ^2t) − 1).

This is the distribution of S(t) in the Black-Scholes model, where the underlying asset follows a geometric Brownian motion.

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To find the particular solution to the differential equation y′=3x3 that passes through (1,4.75), we need to use the given general solution y=c 3x44.

First, we differentiate the general solution to get y′=12cx33.

Next, we substitute the point (1,4.75) into the equation:

4.75 = c 3(1)^4 + C

where C is the constant of integration.

Simplifying this equation, we get:

4.75 = 3c + C

To find the value of C, we need to solve for it. We can do this by using the fact that the particular solution passes through the point (1,4.75). Substituting these values into the equation above, we get:

4.75 = 3c + C

4.75 = 3c + C

4.75 - 3c = C

So C = 4.75 - 3c.

Now we substitute this value of C back into the general solution to get the particular solution:

y = c 3x44

y = (4.75 - 3c) 3x44

Therefore, the particular solution to the differential equation y′=3x3 that passes through (1,4.75), given that y=c 3x44 is a general solution, is y = (4.75 - 3c) 3x44.

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a. The possible values of the random variable X are integers from 1 to n, where n is the total number of different pages on the website.

b. The random variable X is discrete.

b. The possible values of the random variable Y are all non-negative real numbers, that is, Y ≥ 0.

b. The random variable Y is continuous.

a. a. Since a customer can only hit one page at a time, the number of pages they hit in a single visit can only be an integer from 1 to n, where n is the total number of pages on the website.

Therefore, the possible values of the random variable X are X = {1, 2, 3, ..., n}.b. A random variable is discrete if it can only take on a countable number of values, which is true for X. Therefore, the random variable X is discrete.

b. The total time a customer spends on the website can be any non-negative real number. Therefore, the possible values of the random variable Y are Y ≥ 0. Since Y can take on any value within a range, it is a continuous random variable.

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The linear speed of the truck is 199.5π/88 mph.

The circumference of each wheel is:

C = πd = π(42 in.) = 42π in.

The distance the truck travels in one revolution of the wheels is equal to the circumference of the wheels. Therefore, the distance the truck travels in one minute is:

d = 42π in./rev × 505 rev/min = 21159π in./min

To convert this to miles per hour, we need to divide by the number of inches in a mile and the number of minutes in an hour:

d = 21159π in./min × (1 mile/63360 in.) × (60 min./1 hour) = 199.5π/88 miles/hour

So, the linear speed of the truck is 199.5π/88 mph.

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